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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era

2025PLoS ONEJournalOpen access

10.1371/journal.pone.0313600 Full text8 citations

Authors

10 authors across 7 institutions in 2 countries.

Lathan LiouFirst author
Elizabeth Mostofsky
Laura Lehman
Soziema Salia
- University of Cape Coast (GH)
Francisco J. Barrera
Ying Wei
Amal Cheema
Anuradha Lala
Andrew Beam
Murray A. MittlemanSenior authorCorresponding

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Transplantation: Methods and Outcomeslevel 3 · 1.00
Renal Transplantation Outcomes and Treatmentslevel 3 · 0.98
Organ Transplantation Techniques and Outcomeslevel 3 · 0.94

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

crossrefseen September 6, 2026
2025 · PLOS ONE · 8 citations
10.1371/journal.pone.0313600
openalexseen September 5, 2026
2025 · PLoS ONE · 8 citations
https://openalex.org/W4406139679

Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era · Sankore